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    Forecasting of Reference Evapotranspiration by Artificial Neural Networks

    Source: Journal of Irrigation and Drainage Engineering:;2003:;Volume ( 129 ):;issue: 006
    Author:
    Slavisa Trajkovic
    ,
    Branimir Todorovic
    ,
    Miomir Stankovic
    DOI: 10.1061/(ASCE)0733-9437(2003)129:6(454)
    Publisher: American Society of Civil Engineers
    Abstract: In recent years, artificial neural networks (ANNs) have been applied to forecasting in many areas of engineering. In this note, a sequentially adaptive radial basis function network is applied to the forecasting of reference evapotranspiration
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      Forecasting of Reference Evapotranspiration by Artificial Neural Networks

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/28222
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    contributor authorSlavisa Trajkovic
    contributor authorBranimir Todorovic
    contributor authorMiomir Stankovic
    date accessioned2017-05-08T20:49:24Z
    date available2017-05-08T20:49:24Z
    date copyrightDecember 2003
    date issued2003
    identifier other%28asce%290733-9437%282003%29129%3A6%28454%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/28222
    description abstractIn recent years, artificial neural networks (ANNs) have been applied to forecasting in many areas of engineering. In this note, a sequentially adaptive radial basis function network is applied to the forecasting of reference evapotranspiration
    publisherAmerican Society of Civil Engineers
    titleForecasting of Reference Evapotranspiration by Artificial Neural Networks
    typeJournal Paper
    journal volume129
    journal issue6
    journal titleJournal of Irrigation and Drainage Engineering
    identifier doi10.1061/(ASCE)0733-9437(2003)129:6(454)
    treeJournal of Irrigation and Drainage Engineering:;2003:;Volume ( 129 ):;issue: 006
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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